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Get MGI Diagnostics

get_mgi_diagnostics
Read-onlyIdempotent

Check the MGI index status including data freshness, release version, and marker/allele/phenotype/ortholog/disease counts. Use this to verify data is ready or troubleshoot data_unavailable errors.

Instructions

Report the local MGI index status: whether the data is built, the loaded release, marker/allele/phenotype/ortholog/disease counts, schema version, and when it was built. Use this to confirm freshness or diagnose a data_unavailable error. Signature: get_mgi_diagnostics().

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNo
_metaNo
error_codeNo
messageNo
retryableNo
recovery_actionNo
fieldNo
allowed_valuesNo
hintNo
candidatesNo
data_availableNo
releaseNo
marker_countNo
allele_countNo
genopheno_countNo
mp_term_countNo
ortholog_countNo
disease_countNo
built_utcNo
buildNo
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive. The description adds value by detailing the exact return items (counts, schema version, build time). No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two clear sentences plus signature. Every sentence adds value: main purpose, usage advice, and signature. No fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no inputs, annotations cover safety, and output schema exists but description already lists return fields. Complete and sufficient for agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so schema coverage is 100%. Description does not need to add parameter meaning. Baseline of 4 is appropriate for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs ('Report') and resources ('local MGI index status') and lists exact data components (release, counts, schema version, build timestamp). It clearly distinguishes from sibling tools that fetch individual markers or phenotypes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: 'confirm freshness or diagnose a data_unavailable error'. Does not provide when-not-to-use or alternatives, but sibling list implies context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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